Introduction to Machine Learning in R
Introduction to Machine Learning in R. Learn how to use modern machine learning techniques to all kinds of realistic problems
The name of this course is Introduction to Machine Learning in R. The knowledge you will get with this indescribable online course is astonishing. Learn how to use modern machine learning techniques to all kinds of realistic problems.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Holczer Balazs, one of the very best experts in this field.
Description of this course: Introduction to Machine Learning in R
Course Description This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very very good guess about stock prices movement in the market.In the first chapter we are going to talk about the basics of the R programming language. Later, we will talk about neural networks in the main, and the theory behind it. The last chapter is about the concrete examples of neural networks.
Requirements of this course: Introduction to Machine Learning in R
What are the requirements? No prior programming knowledge is needed
What will you learn in this course: Introduction to Machine Learning in R?
What am I going to get from this course? Understand the basics of neural networks Get a good grasp of machine learning fundamentals Learn the basics of R Learn the basics of machine learning techniques
Target audience of this course: Introduction to Machine Learning in R
Who is the target audience? This course is mean for newbies who are familiar with R and looking for some advanced topics. No prior programming knowledge is needed.
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